An integrated machine learning and fractional calculus approach to predicting diabetes risk in women by David Amilo, Khadijeh Sadri, Evren Hincal, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohamed Hafez

“…We employ seven machine learning algorithms: Decision Tree, Logistic Regression, Support Vector Machine (SVM), Random Forest, Bagged Trees, Naive Bayes, and XGBoost, to identify key risk factors, with XGBoost demonstrating higher performance. …”
Get full text

Tofacitinib monotherapy as maintenance treatment in juvenile dermatomyositis: a case report by Enrique Calvo-Aranda, Delia Argüelles Balas, Estefanía Barral Mena, M Ángeles Martín Díaz

“…We present the case of a child with JDM who achieved sustained remission with tofacitinib monotherapy following the failure of previous therapies. While its use is currently restricted to refractory cases, these findings suggest its potential for earlier integration into treatment algorithms. …”
Get full text

OPTIMIZING KEYWORD SEARCH FOR SEARCH ENGINES USING BLOCKCHAIN TECHNOLOGY by Bharti Aggarwal, Dinesh Rai, Naresh Kumar

“…The traditional SEO landscape, reliant on algorithmic changes and privacy concerns, demands new solutions. …”
Get full text

Cluster mapping in Spain: Exploring the correlation between industrial agglomeration and regional performance by Rudy Fernández Escobedo, Begoña Eguía Peña, Leire Aldaz Odriozola

“…A six-step methodology is applied departing from cross-industry linkages and implementing clustering algorithms; one set of clusters is elected and mapped over territory. …”
Get full text

Improving Word Embedding Using Variational Dropout by Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo

“…In recent years, many post-processing algorithms have been proposed to improve the pre-trained word embeddings. …”
Get full text

CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT by Ahmad Abubakar Mustapha, Mohamed Sirajudeen Yoosuf

“…Our Proposed work is through the integration of IoT and machine learning algorithms, the device can detect and analyze facial emotions and weapons in crowded areas (among protesters), the model has been experimented and it achieved an mAP of 99.39% @0.50IOU while 98.69% @0.75IOU and overall mAP of 91.52%. …”
Get full text

Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes by Rebeka Anna Jáger, Géza Szabó

“…This encompasses not only the examination of conflict resolution algorithms but also the exploration of human–machine collaboration. …”
Get full text

ON TRAVERSABILITY COST EVALUATION FROM PROPRIOCEPTIVE SENSING FOR A CRAWLING ROBOT by Jakub Mrva, Martin Stejskal, Jan Faigl

“…This paper addresses the problem of traversability cost evaluation based on proprioceptive sensing for a hexapod walking robot while optimizing different criteria. We present several methods of evaluating the robot-terrain interaction that can be used as a cost function for an assessment of the robot motion that can be utilized in high-level path-planning algorithms.…”
Get full text

Advanced parameter tuning scheme for double CFO based fractional order composite controller synthesis method by Siyi Chen, Yang Shu, Haiyang Kuang, Dongqi Cheng, Ying Luo

“…This method sequentially employs D-decomposition and optimization algorithms to address these challenges. Finally, by comparing it with various algorithms. …”
Get full text

Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

“…The paper reviews the use of machine learning algorithms in software defect prediction framework’s bug prediction while assessing their performance across multiple environments. …”
Get full text

Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach by Mohammed Aly, Mohamed H. Behiry

“…Abstract Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. …”
Get full text

Multi‐function radar work mode recognition based on residual shrinkage reconstruction recurrent neural network by Lihong Wang, Kai Xie

“…The network uses a Gated Recurrent Unit as its backbone to extract temporal features and enhances feature extraction by reconstructing the GRU's input, while also reducing dependence on clean samples. …”
Get full text

Harnessing Generative AI in Higher Education: Opportunities, Challenges, and Ethical Imperatives by R. Ravichandran, P. Sasikala

“…The paper also interrogates key ethical concerns, such as academic integrity, data privacy, algorithmic bias, and equity, while analysing current government initiatives aimed at responsible AI adoption. …”
Get full text

Artificial intelligence for smart irrigation: Reducing water consumption and improving agricultural output by Arlanova A. A., Hojamkuliyeva B. A., Babanazarov N. Sh., Arlanov M. S.

“…A mathematical model based on machine learning algorithms is developed to predict the optimal water volume required for irrigation of agricultural crops. …”
Get full text

SLR Systematic Literature Review: Metode Penilaian Kinerja Karyawan Menggunakan Human Performance Technology by Roni Habibi, Artha Glory Romey Manurung

“…The objective of this research is to review the literature that employs the Systematic Literature Review (SLR) method, while considering several aspects such as previous research on employee performance appraisal and human performance technology. …”
Get full text

A New Collision Avoidance Approach for Automated Guided Vehicle Systems Based on Finite State Machines by Mustafa COBAN, Gokhan GELEN

“…In the proposed method, while finite state machines are used to model the movement of automated guided vehicles in the environment, the Q-learning method, one of the most common reinforcement learning algorithms, is used for collision avoidance. …”
Get full text

AI-Enhanced Criminal Investigations and Ḥudūd Offenses: A Sharīʿah Compliance Framework by Abubakar Muhammad Jibril, Rabiu Abdulmudallib Bello, Abbas Abubakar

“…The model operates within Islamic legal doctrine, conforming to technological advancement while upholding the Qurʾān's overarching commitment to justice. …”
Get full text

Tafsir Digital: Antara Adaptasi dan Krisis Otoritas Keagamaan by Dina Istiqomah, Muhammad Rusidi, Opi Yensi

“…The study reveals the ambivalence of digital tafsir, while innovative, it is also vulnerable to epistemological fragmentation. …”
Get full text

Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning by Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

“…Bias mitigation algorithms reduced disparities in prediction performance across ethnic groups, with the threshold optimiser yielding the most notable improvements. …”
Get full text

Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI by H. Kim, H. Kim, X. Chen, X. Chen, J. Wang, J. Wang, J. Wang, J. Wang, Z. Lu, Z. Lu, Z. Lu, M. Zhou, G. R. Carmichael, G. R. Carmichael, S. S. Park, J. Kim

“…The differences due to the inconsistent definitions of ALH in various retrieval algorithms are investigated and eliminated before comparison. …”
Get full text